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mi4p: Multiple Imputation for Proteomics

A framework for multiple imputation for proteomics is proposed by Marie Chion, Christine Carapito and Frederic Bertrand (2021) <doi:10.48550/arXiv.2108.07086>. It is dedicated to dealing with multiple imputation for proteomics.

Version: 1.1
Depends: R (≥ 3.5.0)
Imports: emmeans, foreach, imp4p, impute, limma, mice, stringr
Suggests: Biobase, knitr, R.rsp, markdown, prettydoc, rmarkdown, DAPAR, ProteoMM
Published: 2023-03-23
Author: Marie Chion ORCID iD [aut], Christine Carapito ORCID iD [aut], Frederic Bertrand ORCID iD [cre, aut], Gordon Smyth [ctb], Davis McCarthy [ctb], Hélène Borges [ctb], Thomas Burger [ctb], Quentin Giai-Gianetto [ctb], Samuel Wieczorek [ctb]
Maintainer: Frederic Bertrand <frederic.bertrand at utt.fr>
Contact: Marie Chion <marie.chion@protonmail.fr>, Frederic Bertrand <frederic.bertrand@utt.fr>
BugReports: https://github.com/mariechion/mi4p/issues/
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: See the file COPYRIGHTS
mi4p copyright details
URL: https://mariechion.github.io/mi4p/, https://github.com/mariechion/mi4p/
NeedsCompilation: no
Classification/MSC: 62J05, 62J07, 62J99, 92C42
Citation: mi4p citation info
Materials: README NEWS
In views: MissingData, Omics
CRAN checks: mi4p results

Documentation:

Reference manual: mi4p.pdf
Vignettes: Multiple imputation for proteomics

Downloads:

Package source: mi4p_1.1.tar.gz
Windows binaries: r-devel: mi4p_1.1.zip, r-release: mi4p_1.1.zip, r-oldrel: mi4p_1.1.zip
macOS binaries: r-release (arm64): mi4p_1.1.tgz, r-oldrel (arm64): mi4p_1.1.tgz, r-release (x86_64): mi4p_1.1.tgz, r-oldrel (x86_64): mi4p_1.1.tgz
Old sources: mi4p archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mi4p to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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